Aggregated visualization of playtesting data

Günter Wallner; Nour Halabi; Pejman Mirza-Babaei

doi:10.1145/3290605.3300593

Aggregated visualization of playtesting data

Günter Wallner, Nour Halabi, Pejman Mirza-Babaei

Industrial Design

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

39 Citations (Scopus)

1 Downloads (Pure)

Abstract

Playtesting is a key component in the game development process aimed at improving the quality of games through the collection of gameplay data and identification of design issues. Visualization techniques are currently being employed to help integrate quantitative and qualitative data. Despite that, two existing challenges are to determine the level of detail to be presented to developers based on their needs and to effectively communicate the collected data so that informed design changes can be reached. In this paper, we first propose an aggregated visualization technique that makes use of clustering, territory tessellation, and trajectory aggregation to simultaneously display mixed playtesting data. Secondly, to assess the usefulness of our technique we evaluate it through interviews with professional game developers and compare it to a non-aggregated visualization. The results of this study also provide an important contribution towards identifying areas of improvement in the portrayal of gameplay data.

Original language	English
Title of host publication	CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc
Number of pages	12
ISBN (Print)	978-1-4503-5970-2
DOIs	https://doi.org/10.1145/3290605.3300593
Publication status	Published - 2 May 2019
Event	37th ACM Annual Conference on Human Factors in Computing Systems, CHI 2019 - Scottish Event Campus, Glasgow, United Kingdom Duration: 4 May 2019 → 9 May 2019 Conference number: 37 https://chi2019.acm.org

Conference

Conference	37th ACM Annual Conference on Human Factors in Computing Systems, CHI 2019
Abbreviated title	CHI 2019
Country/Territory	United Kingdom
City	Glasgow
Period	4/05/19 → 9/05/19
Internet address	https://chi2019.acm.org

Keywords

Data visualization
Games user research
Mixed-methods
Physiological measurements
Visual game analytics

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10.1145/3290605.3300593

Cite this

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title = "Aggregated visualization of playtesting data",

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note = "37th ACM Annual Conference on Human Factors in Computing Systems, CHI 2019, CHI 2019 ; Conference date: 04-05-2019 Through 09-05-2019",

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Wallner, G, Halabi, N & Mirza-Babaei, P 2019, Aggregated visualization of playtesting data. in CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems., 363, Association for Computing Machinery, Inc, New York, 37th ACM Annual Conference on Human Factors in Computing Systems, CHI 2019, Glasgow, United Kingdom, 4/05/19. https://doi.org/10.1145/3290605.3300593

Aggregated visualization of playtesting data. / Wallner, Günter; Halabi, Nour; Mirza-Babaei, Pejman.
CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery, Inc, 2019. 363.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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KW - Physiological measurements

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Aggregated visualization of playtesting data

Abstract

Conference

Keywords

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